Cone-beam computed tomography texture analysis can help differentiate odontogenic and non-odontogenic maxillary sinusitis

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dc.contributor.authorCosta, Andre Luiz Ferreira
dc.contributor.authorFardim, Karolina Aparecida Castilho [UNESP]
dc.contributor.authorRibeiro, Isabela Teixeira [UNESP]
dc.contributor.authorJardini, Maria Aparecida Neves [UNESP]
dc.contributor.authorBraz-Silva, Paulo Henrique
dc.contributor.authorOrhan, Kaan
dc.contributor.authorde Castro Lopes, Sérgio Lúcio Pereira [UNESP]
dc.contributor.institutionCruzeiro do Sul University
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)
dc.contributor.institutionUniversidade de São Paulo (USP)
dc.contributor.institutionAnkara University
dc.date.accessioned2023-07-29T16:10:48Z
dc.date.available2023-07-29T16:10:48Z
dc.date.issued2023-01-01
dc.description.abstractPurpose: This study aimed to assess texture analysis (TA) of cone-beam computed tomography (CBCT) images as a quantitative tool for the differential diagnosis of odontogenic and non-odontogenic maxillary sinusitis (OS and NOS, respectively). Materials and Methods: CBCT images of 40 patients diagnosed with OS (N=20) and NOS (N=20) were evaluated. The gray level co-occurrence (GLCM) matrix parameters, and gray level run length matrix texture (GLRLM) parameters were extracted using manually placed regions of interest on lesion images. Seven texture parameters were calculated using GLCM and 4 parameters using GLRLM. The Mann-Whitney test was used for comparisons between the groups, and the Levene test was performed to confirm the homogeneity of variance (α=5%). Results: The results showed statistically significant differences (P<0.05) between the OS and NOS patients regarding 3 TA parameters. NOS patients presented higher values for contrast, while OS patients presented higher values for correlation and inverse difference moment. Greater textural homogeneity was observed in the OS patients than in the NOS patients, with statistically significant differences in standard deviations between the groups for correlation, sum of squares, sum of entropy, and entropy. Conclusion: TA enabled quantitative differentiation between OS and NOS on CBCT images by using the parameters of contrast, correlation, and inverse difference moment.en
dc.description.affiliationPostgraduate Program in Dentistry Cruzeiro do Sul University, SP
dc.description.affiliationDepartment of Diagnosis and Surgery São José dos Campos School of Dentistry of the São Paulo State University, SP
dc.description.affiliationDivision of General Pathology School of Dentistry University of São Paulo, SP
dc.description.affiliationLaboratory of Virology Institute of Tropical Medicine of São Paulo School of Medicine University of São Paulo, SP
dc.description.affiliationDepartment of Dentomaxillofacial Radiology Faculty of Dentistry Ankara University
dc.description.affiliationUnespDepartment of Diagnosis and Surgery São José dos Campos School of Dentistry of the São Paulo State University, SP
dc.description.sponsorshipFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.format.extent43-51
dc.identifierhttp://dx.doi.org/10.5624/isd.20220166
dc.identifier.citationImaging Science in Dentistry, v. 53, n. 1, p. 43-51, 2023.
dc.identifier.doi10.5624/isd.20220166
dc.identifier.issn2233-7830
dc.identifier.issn2233-7822
dc.identifier.scopus2-s2.0-85152134648
dc.identifier.urihttp://hdl.handle.net/11449/249847
dc.language.isoeng
dc.relation.ispartofImaging Science in Dentistry
dc.sourceScopus
dc.subjectComputer-Assisted
dc.subjectCone-Beam Computed Tomography
dc.subjectDiagnosis
dc.subjectDiagnostic Imaging
dc.subjectParanasal Sinuses
dc.titleCone-beam computed tomography texture analysis can help differentiate odontogenic and non-odontogenic maxillary sinusitisen
dc.typeArtigo
unesp.author.orcid0000-0003-4856-5417[1]
unesp.author.orcid0000-0001-6001-4103[2]
unesp.author.orcid0000-0002-8748-468X[3]
unesp.author.orcid0000-0003-3229-8019[4]
unesp.author.orcid0000-0002-1842-9521 0000-0002-1842-9521[5]
unesp.author.orcid0000-0001-6768-0176[6]
unesp.author.orcid0000-0002-0882-5862[7]

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Artigos - Diagnóstico e Cirurgia - ICT